Topic: "ridge-classifier"
dayfundora/Personality-Type
Recognition of Persomnality Types from Facebook status using Machine Learning
Language: JavaScript - Size: 7.16 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 6

MeoPBK/Fast_Inference_Classifiers
Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.
Language: Python - Size: 79.8 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

bethweirich/hwai
Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)
Language: Python - Size: 1.12 GB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 4

Ahasannn/Real-Time-Expression-Detector
A Real Time Expression Detector using Python and Machine Learning
Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

m-pana/avila
Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.
Language: HTML - Size: 4.72 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models
Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.
Language: Jupyter Notebook - Size: 575 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

glopezv95/ipynb-rndforest-wine
This project focuses on analysing the performance of various Machine Learning models available in python's scikit-learn package when trying to predict wine classification
Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

lisstasy/sleep_disorder_prediction
The analysis and classification of sleep, cardiovascular metrics, and lifestyle factors, for close to 400 fictive persons aiming to identify whether a potential client is likely to have a sleep disorder.
Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

smm1999/TFM
This repository serves as a platform to upload new code updates for my Master's Thesis (TFM), focused on the utilization of both supervised and unsupervised models on a dataset extracted from Spotify. It also includes a small fragment of my thesis. For more information, please contact me at:
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ryanquinnnelson/CMU-02718-Patient-Mortality-Classification-using-ML
Fall 2020 - Computational Medicine - course project
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Sagnik07/Drug-Discovery-for-COVID19
We prepare a machine learning model that can be used to propose potential novel effective drugs to fight SARS-CoV-2, the virus responsible for COVID-19.
Language: Jupyter Notebook - Size: 53.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
